A support vector regression approach to detection in large-MIMO systems
Sign Up to like & getrecommendations! Published in 2017 at "Telecommunication Systems"
DOI: 10.1007/s11235-016-0202-2
Abstract: We propose a support vector regression approach for symbol detection in large-MIMO systems employing spatial multiplexing. We explore the applicability of machine learning algorithms, in particular support vector machines, to address one of the recent… read more here.
Keywords: detection large; detection; vector regression; support vector ... See more keywords
Cosmic neutrino background detection in large-neutrino-mass cosmologies
Sign Up to like & getrecommendations! Published in 2022 at "Physical Review D"
DOI: 10.1103/physrevd.105.063501
Abstract: James Alvey, ∗ Miguel Escudero, † Nashwan Sabti, ‡ and Thomas Schwetz § GRAPPA Institute, Institute for Theoretical Physics Amsterdam, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands Physik-Department, Technische Universität, München,… read more here.
Keywords: physics; detection large; background detection; neutrino background ... See more keywords
BOTA: Explainable IoT Malware Detection in Large Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3228816
Abstract: Explainability and alert reasoning are essential but often neglected properties of intrusion detection systems. The lack of explainability reduces security personnel’s trust, limiting the overall impact of alerts. This article proposes the botnet analysis (BOTA)… read more here.
Keywords: bota explainable; malware detection; detection large; detection ... See more keywords
Taming Asynchrony for Attractor Detection in Large Boolean Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2018.2850901
Abstract: Boolean networks is a well-established formalism for modelling biological systems. A vital challenge for analyzing a Boolean network is to identify all the attractors. This becomes more challenging for large asynchronous Boolean networks, due to… read more here.
Keywords: taming asynchrony; detection large; asynchrony attractor; boolean networks ... See more keywords
MSIF: Multisize Inference Fusion-Based False Alarm Elimination for Ship Detection in Large-Scale SAR Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3159035
Abstract: Ship detection in large-scale synthetic aperture radar (SAR) images has essential value in both military and civilian applications. However, due to the complexity of the background and the simplicity of the texture, ship detection in… read more here.
Keywords: sar images; detection large; ship detection; large scale ... See more keywords
Blind position detection for large field-of-view scattering imaging
Sign Up to like & getrecommendations! Published in 2020 at "Photonics Research"
DOI: 10.1364/prj.388522
Abstract: Prior-free imaging beyond the memory effect (ME) is critical to seeing through the scattering media. However, methods proposed to exceed the ME range have suffered from the availability of prior information of imaging targets. Here,… read more here.
Keywords: scattering imaging; detection; large field; detection large ... See more keywords
Corridor Detection from Large GPS Trajectories Datasets
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10145003
Abstract: Given the widespread use of mobile devices that track their geographical location, it has become increasingly easy to acquire information related to users’ trips in real time. This availability has triggered several studies based on… read more here.
Keywords: gps trajectories; trajectories datasets; detection large; large gps ... See more keywords